{"id":3239,"date":"2023-07-18T12:33:46","date_gmt":"2023-07-18T12:33:46","guid":{"rendered":"https:\/\/statorials.org\/ru\/%d1%86%d0%b8%d1%84%d1%80%d0%be%d0%b2%d0%be%d0%b8-%d1%84%d0%b8%d0%bb%d1%8c%d1%82%d1%80\/"},"modified":"2023-07-18T12:33:46","modified_gmt":"2023-07-18T12:33:46","slug":"%d1%86%d0%b8%d1%84%d1%80%d0%be%d0%b2%d0%be%d0%b8-%d1%84%d0%b8%d0%bb%d1%8c%d1%82%d1%80","status":"publish","type":"post","link":"https:\/\/statorials.org\/ru\/%d1%86%d0%b8%d1%84%d1%80%d0%be%d0%b2%d0%be%d0%b8-%d1%84%d0%b8%d0%bb%d1%8c%d1%82%d1%80\/","title":{"rendered":"\u041a\u0430\u043a \u0444\u0438\u043b\u044c\u0442\u0440\u043e\u0432\u0430\u0442\u044c \u043c\u0430\u0441\u0441\u0438\u0432 numpy (4 \u043f\u0440\u0438\u043c\u0435\u0440\u0430)"},"content":{"rendered":"

<\/p>\n

\n

\u0414\u043b\u044f \u0444\u0438\u043b\u044c\u0442\u0440\u0430\u0446\u0438\u0438 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0439 \u043c\u0430\u0441\u0441\u0438\u0432\u0430 NumPy \u043c\u043e\u0436\u043d\u043e \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0435 \u043c\u0435\u0442\u043e\u0434\u044b:<\/span><\/p>\n

\u0421\u043f\u043e\u0441\u043e\u0431 1: \u0444\u0438\u043b\u044c\u0442\u0440\u0430\u0446\u0438\u044f \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0439 \u043f\u043e \u043e\u0434\u043d\u043e\u043c\u0443 \u0443\u0441\u043b\u043e\u0432\u0438\u044e<\/strong><\/span><\/p>\n

 #filter for values less than 5<\/span>\nmy_array[my_array < 5<\/span> ]\n<\/strong><\/pre>\n
 \u0421\u043f\u043e\u0441\u043e\u0431 2: \u0444\u0438\u043b\u044c\u0442\u0440\u0430\u0446\u0438\u044f \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0439 \u0441 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435\u043c \u0443\u0441\u043b\u043e\u0432\u0438\u044f \u00ab\u0418\u041b\u0418\u00bb<\/strong><\/span><\/p>\n
 #filter for values less than 5 or<\/em> greater than 9<\/span>\nmy_array[(my_array < 5<\/span> ) | (my_array > 9<\/span> )]\n<\/strong><\/pre>\n
 \u0421\u043f\u043e\u0441\u043e\u0431 3: \u0444\u0438\u043b\u044c\u0442\u0440\u0430\u0446\u0438\u044f \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0439 \u0441 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435\u043c \u0443\u0441\u043b\u043e\u0432\u0438\u044f \u00ab\u0418\u00bb<\/strong><\/span><\/p>\n
 #filter for values greater than 5 and<\/i> less than 9<\/span>\nmy_array[(my_array > 5<\/span> ) & (my_array < 9<\/span> )]<\/strong><\/pre>\n
 \u0421\u043f\u043e\u0441\u043e\u0431 4: \u043e\u0442\u0444\u0438\u043b\u044c\u0442\u0440\u043e\u0432\u0430\u0442\u044c \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f, \u0441\u043e\u0434\u0435\u0440\u0436\u0430\u0449\u0438\u0435\u0441\u044f \u0432 \u0441\u043f\u0438\u0441\u043a\u0435<\/strong><\/span><\/p>\n
 #filter for values that are equal to 2, 3, 5, or 12<\/span>\nmy_array[np. in1d<\/span> (my_array, [2, 3, 5, 12])]\n<\/strong><\/pre>\n
 \u0412 \u044d\u0442\u043e\u043c \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0441\u0442\u0432\u0435 \u043e\u0431\u044a\u044f\u0441\u043d\u044f\u0435\u0442\u0441\u044f, \u043a\u0430\u043a \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u043a\u0430\u0436\u0434\u044b\u0439 \u043c\u0435\u0442\u043e\u0434 \u043d\u0430 \u043f\u0440\u0430\u043a\u0442\u0438\u043a\u0435 \u0441\u043e \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u043c \u043c\u0430\u0441\u0441\u0438\u0432\u043e\u043c NumPy:<\/span><\/p>\n
 import<\/span> numpy as<\/span> np\n\n#create NumPy array\n<\/span>my_array = np. array<\/span> ([1, 2, 2, 3, 5, 6, 7, 10, 12, 14])\n\n#view NumPy array<\/span>\nmy_array\n\narray([ 1, 2, 2, 3, 5, 6, 7, 10, 12, 14])\n<\/strong><\/span><\/pre>\n
 \u041f\u0440\u0438\u043c\u0435\u0440 1. \u0424\u0438\u043b\u044c\u0442\u0440\u0430\u0446\u0438\u044f \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0439 \u043f\u043e \u0443\u0441\u043b\u043e\u0432\u0438\u044e<\/strong><\/span><\/h2>\n
 \u0421\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u043a\u043e\u0434 \u043f\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442, \u043a\u0430\u043a \u0444\u0438\u043b\u044c\u0442\u0440\u043e\u0432\u0430\u0442\u044c \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f \u043c\u0430\u0441\u0441\u0438\u0432\u0430 NumPy \u043d\u0430 \u043e\u0441\u043d\u043e\u0432\u0435 \u043e\u0434\u043d\u043e\u0433\u043e \u0443\u0441\u043b\u043e\u0432\u0438\u044f:<\/span><\/p>\n
 #filter for values less than 5\n<\/span>my_array[(my_array < 5<\/span> )]\n\narray([1, 2, 2, 3])\n\n#filter for values greater than 5\n<\/span>my_array[(my_array > 5<\/span> )]\n\narray([6,7,10,12,14])\n\n#filter for values equal to 5\n<\/span>my_array[(my_array == 5<\/span> )]\n\narray([5])\n<\/strong><\/pre>\n
 \u041f\u0440\u0438\u043c\u0435\u0440 2. \u0424\u0438\u043b\u044c\u0442\u0440\u0430\u0446\u0438\u044f \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0439 \u0441 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435\u043c \u0443\u0441\u043b\u043e\u0432\u0438\u044f \u00ab\u0418\u041b\u0418\u00bb<\/strong><\/span><\/h2>\n
 \u0421\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u043a\u043e\u0434 \u043f\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442, \u043a\u0430\u043a \u0444\u0438\u043b\u044c\u0442\u0440\u043e\u0432\u0430\u0442\u044c \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f \u043c\u0430\u0441\u0441\u0438\u0432\u0430 NumPy \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e \u0443\u0441\u043b\u043e\u0432\u0438\u044f \u00ab\u0418\u041b\u0418\u00bb:<\/span><\/p>\n
 #filter for values less than 5 or<\/em> greater than 9<\/span>\nmy_array[(my_array < 5<\/span> ) | (my_array > 9<\/span> )]\n\narray([ 1, 2, 2, 3, 10, 12, 14])\n<\/strong><\/pre>\n
 \u042d\u0442\u043e\u0442 \u0444\u0438\u043b\u044c\u0442\u0440 \u0432\u043e\u0437\u0432\u0440\u0430\u0449\u0430\u0435\u0442 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f \u043c\u0430\u0441\u0441\u0438\u0432\u0430 NumPy \u043c\u0435\u043d\u044c\u0448\u0435 5 \u0438\u043b\u0438<\/strong> \u0431\u043e\u043b\u044c\u0448\u0435 9.<\/span><\/p>\n
 \u041f\u0440\u0438\u043c\u0435\u0440 3: \u0424\u0438\u043b\u044c\u0442\u0440\u0430\u0446\u0438\u044f \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0439 \u0441 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435\u043c \u0443\u0441\u043b\u043e\u0432\u0438\u044f \u00ab\u0418\u00bb<\/strong><\/span><\/h2>\n
 \u0421\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u043a\u043e\u0434 \u043f\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442, \u043a\u0430\u043a \u0444\u0438\u043b\u044c\u0442\u0440\u043e\u0432\u0430\u0442\u044c \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f \u043c\u0430\u0441\u0441\u0438\u0432\u0430 NumPy \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e \u0443\u0441\u043b\u043e\u0432\u0438\u044f \u00ab\u0418\u00bb:<\/span><\/p>\n
 #filter for values greater than 5 and<\/i> less than 9<\/span>\nmy_array[(my_array > 5<\/span> ) & (my_array < 9<\/span> )]\n\narray([6, 7])\n<\/strong><\/pre>\n
 \u042d\u0442\u043e\u0442 \u0444\u0438\u043b\u044c\u0442\u0440 \u0432\u043e\u0437\u0432\u0440\u0430\u0449\u0430\u0435\u0442 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f \u0438\u0437 \u043c\u0430\u0441\u0441\u0438\u0432\u0430 NumPy \u0431\u043e\u043b\u044c\u0448\u0435 5 \u0438<\/b> \u043c\u0435\u043d\u044c\u0448\u0435 9.<\/span><\/p>\n
 \u041f\u0440\u0438\u043c\u0435\u0440 4: \u043e\u0442\u0444\u0438\u043b\u044c\u0442\u0440\u043e\u0432\u0430\u0442\u044c \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f, \u0441\u043e\u0434\u0435\u0440\u0436\u0430\u0449\u0438\u0435\u0441\u044f \u0432 \u0441\u043f\u0438\u0441\u043a\u0435<\/strong><\/span><\/h2>\n
 \u0421\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u043a\u043e\u0434 \u043f\u043e\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442, \u043a\u0430\u043a \u0444\u0438\u043b\u044c\u0442\u0440\u043e\u0432\u0430\u0442\u044c \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f \u043c\u0430\u0441\u0441\u0438\u0432\u0430 NumPy, \u0441\u043e\u0434\u0435\u0440\u0436\u0430\u0449\u0438\u0435\u0441\u044f \u0432 \u0441\u043f\u0438\u0441\u043a\u0435:<\/span><\/p>\n
 #filter for values that are equal to 2, 3, 5, or 12<\/span>\nmy_array[np. in1d<\/span> (my_array, [2, 3, 5, 12])]\n\narray([ 2, 2, 3, 5, 12])\n<\/strong><\/pre>\n
 \u042d\u0442\u043e\u0442 \u0444\u0438\u043b\u044c\u0442\u0440 \u0432\u043e\u0437\u0432\u0440\u0430\u0449\u0430\u0435\u0442 \u0442\u043e\u043b\u044c\u043a\u043e \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u044f, \u0440\u0430\u0432\u043d\u044b\u0435 2, 3, 5 \u0438\u043b\u0438 12.<\/span><\/p>\n
 \u041f\u0440\u0438\u043c\u0435\u0447\u0430\u043d\u0438\u0435<\/strong> . \u041f\u043e\u043b\u043d\u0443\u044e \u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442\u0430\u0446\u0438\u044e \u043f\u043e \u0444\u0443\u043d\u043a\u0446\u0438\u0438 NumPy in1d()<\/strong> \u043c\u043e\u0436\u043d\u043e \u043d\u0430\u0439\u0442\u0438 \u0437\u0434\u0435\u0441\u044c<\/a> .<\/span><\/p>\n
 \u0414\u043e\u043f\u043e\u043b\u043d\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0435 \u0440\u0435\u0441\u0443\u0440\u0441\u044b<\/strong><\/span><\/h3>\n
 \u0412 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0445 \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0441\u0442\u0432\u0430\u0445 \u043e\u0431\u044a\u044f\u0441\u043d\u044f\u0435\u0442\u0441\u044f, \u043a\u0430\u043a \u0432\u044b\u043f\u043e\u043b\u043d\u044f\u0442\u044c \u0434\u0440\u0443\u0433\u0438\u0435 \u0440\u0430\u0441\u043f\u0440\u043e\u0441\u0442\u0440\u0430\u043d\u0435\u043d\u043d\u044b\u0435 \u043e\u043f\u0435\u0440\u0430\u0446\u0438\u0438 \u0444\u0438\u043b\u044c\u0442\u0440\u0430\u0446\u0438\u0438 \u0432 Python:<\/span><\/p>\n
 \u041a\u0430\u043a \u0444\u0438\u043b\u044c\u0442\u0440\u043e\u0432\u0430\u0442\u044c \u0441\u0442\u0440\u043e\u043a\u0438 Pandas DataFrame, \u0441\u043e\u0434\u0435\u0440\u0436\u0430\u0449\u0438\u0435 \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u043d\u0443\u044e \u0441\u0442\u0440\u043e\u043a\u0443<\/a>
 \u041a\u0430\u043a \u0444\u0438\u043b\u044c\u0442\u0440\u043e\u0432\u0430\u0442\u044c DataFrame Pandas \u043f\u043e \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u0438\u043c \u0443\u0441\u043b\u043e\u0432\u0438\u044f\u043c<\/a>
 \u041a\u0430\u043a \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0444\u0438\u043b\u044c\u0442\u0440 \u00ab\u041d\u0415 \u0412\u00bb \u0432 Pandas DataFrame<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u0414\u043b\u044f \u0444\u0438\u043b\u044c\u0442\u0440\u0430\u0446\u0438\u0438 \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0439 \u043c\u0430\u0441\u0441\u0438\u0432\u0430 NumPy \u043c\u043e\u0436\u043d\u043e \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0435 \u043c\u0435\u0442\u043e\u0434\u044b: \u0421\u043f\u043e\u0441\u043e\u0431 1: \u0444\u0438\u043b\u044c\u0442\u0440\u0430\u0446\u0438\u044f \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0439 \u043f\u043e \u043e\u0434\u043d\u043e\u043c\u0443 \u0443\u0441\u043b\u043e\u0432\u0438\u044e #filter for values less than 5 my_array[my_array < 5 ] \u0421\u043f\u043e\u0441\u043e\u0431 2: \u0444\u0438\u043b\u044c\u0442\u0440\u0430\u0446\u0438\u044f \u0437\u043d\u0430\u0447\u0435\u043d\u0438\u0439 \u0441 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435\u043c \u0443\u0441\u043b\u043e\u0432\u0438\u044f \u00ab\u0418\u041b\u0418\u00bb #filter for values less than 5 or greater than 9 my_array[(my_array < 5 ) | (my_array > 9 )] \u0421\u043f\u043e\u0441\u043e\u0431 3: […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"class_list":["post-3239","post","type-post","status-publish","format-standard","hentry","category-11"],"yoast_head":"\n\u041a\u0430\u043a \u0444\u0438\u043b\u044c\u0442\u0440\u043e\u0432\u0430\u0442\u044c \u043c\u0430\u0441\u0441\u0438\u0432 NumPy (4 \u043f\u0440\u0438\u043c\u0435\u0440\u0430) - \u0421\u0442\u0430\u0442\u043e\u0440\u0438\u0430\u043b\u044b<\/title>\n<meta name=\"description\" content=\"\u0412 \u044d\u0442\u043e\u043c \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0441\u0442\u0432\u0435 \u043e\u0431\u044a\u044f\u0441\u043d\u044f\u0435\u0442\u0441\u044f, \u043a\u0430\u043a \u0444\u0438\u043b\u044c\u0442\u0440\u043e\u0432\u0430\u0442\u044c \u043c\u0430\u0441\u0441\u0438\u0432 NumPy, \u0441 \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u0438\u043c\u0438 \u043f\u0440\u0438\u043c\u0435\u0440\u0430\u043c\u0438.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/ru\/\u0446\u0438\u0444\u0440\u043e\u0432\u043e\u0438-\u0444\u0438\u043b\u044c\u0442\u0440\/\" \/>\n<meta property=\"og:locale\" content=\"ru_RU\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u041a\u0430\u043a \u0444\u0438\u043b\u044c\u0442\u0440\u043e\u0432\u0430\u0442\u044c \u043c\u0430\u0441\u0441\u0438\u0432 NumPy (4 \u043f\u0440\u0438\u043c\u0435\u0440\u0430) - \u0421\u0442\u0430\u0442\u043e\u0440\u0438\u0430\u043b\u044b\" \/>\n<meta property=\"og:description\" content=\"\u0412 \u044d\u0442\u043e\u043c \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0441\u0442\u0432\u0435 \u043e\u0431\u044a\u044f\u0441\u043d\u044f\u0435\u0442\u0441\u044f, \u043a\u0430\u043a \u0444\u0438\u043b\u044c\u0442\u0440\u043e\u0432\u0430\u0442\u044c \u043c\u0430\u0441\u0441\u0438\u0432 NumPy, \u0441 \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u0438\u043c\u0438 \u043f\u0440\u0438\u043c\u0435\u0440\u0430\u043c\u0438.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/ru\/\u0446\u0438\u0444\u0440\u043e\u0432\u043e\u0438-\u0444\u0438\u043b\u044c\u0442\u0440\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-18T12:33:46+00:00\" \/>\n<meta name=\"author\" content=\"\u0431\u0435\u043d\u0434\u0436\u0430\u043c\u0438\u043d \u0430\u043d\u0434\u0435\u0440\u0441\u043e\u043d\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u041d\u0430\u043f\u0438\u0441\u0430\u043d\u043e \u0430\u0432\u0442\u043e\u0440\u043e\u043c\" \/>\n\t<meta name=\"twitter:data1\" content=\"\u0431\u0435\u043d\u0434\u0436\u0430\u043c\u0438\u043d \u0430\u043d\u0434\u0435\u0440\u0441\u043e\u043d\" \/>\n\t<meta name=\"twitter:label2\" content=\"\u041f\u0440\u0438\u043c\u0435\u0440\u043d\u043e\u0435 \u0432\u0440\u0435\u043c\u044f \u0434\u043b\u044f \u0447\u0442\u0435\u043d\u0438\u044f\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 \u043c\u0438\u043d\u0443\u0442\u0430\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/ru\/%d1%86%d0%b8%d1%84%d1%80%d0%be%d0%b2%d0%be%d0%b8-%d1%84%d0%b8%d0%bb%d1%8c%d1%82%d1%80\/\",\"url\":\"https:\/\/statorials.org\/ru\/%d1%86%d0%b8%d1%84%d1%80%d0%be%d0%b2%d0%be%d0%b8-%d1%84%d0%b8%d0%bb%d1%8c%d1%82%d1%80\/\",\"name\":\"\u041a\u0430\u043a \u0444\u0438\u043b\u044c\u0442\u0440\u043e\u0432\u0430\u0442\u044c \u043c\u0430\u0441\u0441\u0438\u0432 NumPy (4 \u043f\u0440\u0438\u043c\u0435\u0440\u0430) - \u0421\u0442\u0430\u0442\u043e\u0440\u0438\u0430\u043b\u044b\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/ru\/#website\"},\"datePublished\":\"2023-07-18T12:33:46+00:00\",\"dateModified\":\"2023-07-18T12:33:46+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/ru\/#\/schema\/person\/774949a85feafc6654ba9cefc39d3cae\"},\"description\":\"\u0412 \u044d\u0442\u043e\u043c \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0441\u0442\u0432\u0435 \u043e\u0431\u044a\u044f\u0441\u043d\u044f\u0435\u0442\u0441\u044f, \u043a\u0430\u043a \u0444\u0438\u043b\u044c\u0442\u0440\u043e\u0432\u0430\u0442\u044c \u043c\u0430\u0441\u0441\u0438\u0432 NumPy, \u0441 \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u0438\u043c\u0438 \u043f\u0440\u0438\u043c\u0435\u0440\u0430\u043c\u0438.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/ru\/%d1%86%d0%b8%d1%84%d1%80%d0%be%d0%b2%d0%be%d0%b8-%d1%84%d0%b8%d0%bb%d1%8c%d1%82%d1%80\/#breadcrumb\"},\"inLanguage\":\"ru-RU\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/ru\/%d1%86%d0%b8%d1%84%d1%80%d0%be%d0%b2%d0%be%d0%b8-%d1%84%d0%b8%d0%bb%d1%8c%d1%82%d1%80\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/ru\/%d1%86%d0%b8%d1%84%d1%80%d0%be%d0%b2%d0%be%d0%b8-%d1%84%d0%b8%d0%bb%d1%8c%d1%82%d1%80\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"\u0414\u043e\u043c\",\"item\":\"https:\/\/statorials.org\/ru\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"\u041a\u0430\u043a \u0444\u0438\u043b\u044c\u0442\u0440\u043e\u0432\u0430\u0442\u044c \u043c\u0430\u0441\u0441\u0438\u0432 numpy (4 \u043f\u0440\u0438\u043c\u0435\u0440\u0430)\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/statorials.org\/ru\/#website\",\"url\":\"https:\/\/statorials.org\/ru\/\",\"name\":\"Statorials\",\"description\":\"\u0412\u0430\u0448 \u043f\u0443\u0442\u0435\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c \u043f\u043e \u0441\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u0447\u0435\u0441\u043a\u043e\u0439 \u0433\u0440\u0430\u043c\u043e\u0442\u043d\u043e\u0441\u0442\u0438!\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/statorials.org\/ru\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"ru-RU\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/statorials.org\/ru\/#\/schema\/person\/774949a85feafc6654ba9cefc39d3cae\",\"name\":\"\u0431\u0435\u043d\u0434\u0436\u0430\u043c\u0438\u043d \u0430\u043d\u0434\u0435\u0440\u0441\u043e\u043d\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"ru-RU\",\"@id\":\"https:\/\/statorials.org\/ru\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/statorials.org\/ru\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"contentUrl\":\"https:\/\/statorials.org\/ru\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"caption\":\"\u0431\u0435\u043d\u0434\u0436\u0430\u043c\u0438\u043d \u0430\u043d\u0434\u0435\u0440\u0441\u043e\u043d\"},\"description\":\"\u0417\u0434\u0440\u0430\u0432\u0441\u0442\u0432\u0443\u0439\u0442\u0435, \u044f \u0411\u0435\u043d\u0434\u0436\u0430\u043c\u0438\u043d, \u043f\u0440\u043e\u0444\u0435\u0441\u0441\u043e\u0440 \u0441\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u043a\u0438 \u043d\u0430 \u043f\u0435\u043d\u0441\u0438\u0438, \u0441\u0442\u0430\u0432\u0448\u0438\u0439 \u043f\u0440\u0435\u0434\u0430\u043d\u043d\u044b\u043c \u043f\u0440\u0435\u043f\u043e\u0434\u0430\u0432\u0430\u0442\u0435\u043b\u0435\u043c Statorials. \u0418\u043c\u0435\u044f \u043e\u0431\u0448\u0438\u0440\u043d\u044b\u0439 \u043e\u043f\u044b\u0442 \u0438 \u0437\u043d\u0430\u043d\u0438\u044f \u0432 \u043e\u0431\u043b\u0430\u0441\u0442\u0438 \u0441\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u043a\u0438, \u044f \u0445\u043e\u0447\u0443 \u043f\u043e\u0434\u0435\u043b\u0438\u0442\u044c\u0441\u044f \u0441\u0432\u043e\u0438\u043c\u0438 \u0437\u043d\u0430\u043d\u0438\u044f\u043c\u0438, \u0447\u0442\u043e\u0431\u044b \u0440\u0430\u0441\u0448\u0438\u0440\u0438\u0442\u044c \u0432\u043e\u0437\u043c\u043e\u0436\u043d\u043e\u0441\u0442\u0438 \u0441\u0442\u0443\u0434\u0435\u043d\u0442\u043e\u0432 \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e Statorials. \u0423\u0437\u043d\u0430\u0442\u044c \u0431\u043e\u043b\u044c\u0448\u0435\",\"sameAs\":[\"https:\/\/statorials.org\/ru\"]}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"\u041a\u0430\u043a \u0444\u0438\u043b\u044c\u0442\u0440\u043e\u0432\u0430\u0442\u044c \u043c\u0430\u0441\u0441\u0438\u0432 NumPy (4 \u043f\u0440\u0438\u043c\u0435\u0440\u0430) - \u0421\u0442\u0430\u0442\u043e\u0440\u0438\u0430\u043b\u044b","description":"\u0412 \u044d\u0442\u043e\u043c \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0441\u0442\u0432\u0435 \u043e\u0431\u044a\u044f\u0441\u043d\u044f\u0435\u0442\u0441\u044f, \u043a\u0430\u043a \u0444\u0438\u043b\u044c\u0442\u0440\u043e\u0432\u0430\u0442\u044c \u043c\u0430\u0441\u0441\u0438\u0432 NumPy, \u0441 \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u0438\u043c\u0438 \u043f\u0440\u0438\u043c\u0435\u0440\u0430\u043c\u0438.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/statorials.org\/ru\/\u0446\u0438\u0444\u0440\u043e\u0432\u043e\u0438-\u0444\u0438\u043b\u044c\u0442\u0440\/","og_locale":"ru_RU","og_type":"article","og_title":"\u041a\u0430\u043a \u0444\u0438\u043b\u044c\u0442\u0440\u043e\u0432\u0430\u0442\u044c \u043c\u0430\u0441\u0441\u0438\u0432 NumPy (4 \u043f\u0440\u0438\u043c\u0435\u0440\u0430) - \u0421\u0442\u0430\u0442\u043e\u0440\u0438\u0430\u043b\u044b","og_description":"\u0412 \u044d\u0442\u043e\u043c \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0441\u0442\u0432\u0435 \u043e\u0431\u044a\u044f\u0441\u043d\u044f\u0435\u0442\u0441\u044f, \u043a\u0430\u043a \u0444\u0438\u043b\u044c\u0442\u0440\u043e\u0432\u0430\u0442\u044c \u043c\u0430\u0441\u0441\u0438\u0432 NumPy, \u0441 \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u0438\u043c\u0438 \u043f\u0440\u0438\u043c\u0435\u0440\u0430\u043c\u0438.","og_url":"https:\/\/statorials.org\/ru\/\u0446\u0438\u0444\u0440\u043e\u0432\u043e\u0438-\u0444\u0438\u043b\u044c\u0442\u0440\/","og_site_name":"Statorials","article_published_time":"2023-07-18T12:33:46+00:00","author":"\u0431\u0435\u043d\u0434\u0436\u0430\u043c\u0438\u043d \u0430\u043d\u0434\u0435\u0440\u0441\u043e\u043d","twitter_card":"summary_large_image","twitter_misc":{"\u041d\u0430\u043f\u0438\u0441\u0430\u043d\u043e \u0430\u0432\u0442\u043e\u0440\u043e\u043c":"\u0431\u0435\u043d\u0434\u0436\u0430\u043c\u0438\u043d \u0430\u043d\u0434\u0435\u0440\u0441\u043e\u043d","\u041f\u0440\u0438\u043c\u0435\u0440\u043d\u043e\u0435 \u0432\u0440\u0435\u043c\u044f \u0434\u043b\u044f \u0447\u0442\u0435\u043d\u0438\u044f":"1 \u043c\u0438\u043d\u0443\u0442\u0430"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/statorials.org\/ru\/%d1%86%d0%b8%d1%84%d1%80%d0%be%d0%b2%d0%be%d0%b8-%d1%84%d0%b8%d0%bb%d1%8c%d1%82%d1%80\/","url":"https:\/\/statorials.org\/ru\/%d1%86%d0%b8%d1%84%d1%80%d0%be%d0%b2%d0%be%d0%b8-%d1%84%d0%b8%d0%bb%d1%8c%d1%82%d1%80\/","name":"\u041a\u0430\u043a \u0444\u0438\u043b\u044c\u0442\u0440\u043e\u0432\u0430\u0442\u044c \u043c\u0430\u0441\u0441\u0438\u0432 NumPy (4 \u043f\u0440\u0438\u043c\u0435\u0440\u0430) - \u0421\u0442\u0430\u0442\u043e\u0440\u0438\u0430\u043b\u044b","isPartOf":{"@id":"https:\/\/statorials.org\/ru\/#website"},"datePublished":"2023-07-18T12:33:46+00:00","dateModified":"2023-07-18T12:33:46+00:00","author":{"@id":"https:\/\/statorials.org\/ru\/#\/schema\/person\/774949a85feafc6654ba9cefc39d3cae"},"description":"\u0412 \u044d\u0442\u043e\u043c \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0441\u0442\u0432\u0435 \u043e\u0431\u044a\u044f\u0441\u043d\u044f\u0435\u0442\u0441\u044f, \u043a\u0430\u043a \u0444\u0438\u043b\u044c\u0442\u0440\u043e\u0432\u0430\u0442\u044c \u043c\u0430\u0441\u0441\u0438\u0432 NumPy, \u0441 \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u0438\u043c\u0438 \u043f\u0440\u0438\u043c\u0435\u0440\u0430\u043c\u0438.","breadcrumb":{"@id":"https:\/\/statorials.org\/ru\/%d1%86%d0%b8%d1%84%d1%80%d0%be%d0%b2%d0%be%d0%b8-%d1%84%d0%b8%d0%bb%d1%8c%d1%82%d1%80\/#breadcrumb"},"inLanguage":"ru-RU","potentialAction":[{"@type":"ReadAction","target":["https:\/\/statorials.org\/ru\/%d1%86%d0%b8%d1%84%d1%80%d0%be%d0%b2%d0%be%d0%b8-%d1%84%d0%b8%d0%bb%d1%8c%d1%82%d1%80\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/statorials.org\/ru\/%d1%86%d0%b8%d1%84%d1%80%d0%be%d0%b2%d0%be%d0%b8-%d1%84%d0%b8%d0%bb%d1%8c%d1%82%d1%80\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"\u0414\u043e\u043c","item":"https:\/\/statorials.org\/ru\/"},{"@type":"ListItem","position":2,"name":"\u041a\u0430\u043a \u0444\u0438\u043b\u044c\u0442\u0440\u043e\u0432\u0430\u0442\u044c \u043c\u0430\u0441\u0441\u0438\u0432 numpy (4 \u043f\u0440\u0438\u043c\u0435\u0440\u0430)"}]},{"@type":"WebSite","@id":"https:\/\/statorials.org\/ru\/#website","url":"https:\/\/statorials.org\/ru\/","name":"Statorials","description":"\u0412\u0430\u0448 \u043f\u0443\u0442\u0435\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c \u043f\u043e \u0441\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u0447\u0435\u0441\u043a\u043e\u0439 \u0433\u0440\u0430\u043c\u043e\u0442\u043d\u043e\u0441\u0442\u0438!","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/statorials.org\/ru\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"ru-RU"},{"@type":"Person","@id":"https:\/\/statorials.org\/ru\/#\/schema\/person\/774949a85feafc6654ba9cefc39d3cae","name":"\u0431\u0435\u043d\u0434\u0436\u0430\u043c\u0438\u043d \u0430\u043d\u0434\u0435\u0440\u0441\u043e\u043d","image":{"@type":"ImageObject","inLanguage":"ru-RU","@id":"https:\/\/statorials.org\/ru\/#\/schema\/person\/image\/","url":"https:\/\/statorials.org\/ru\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg","contentUrl":"https:\/\/statorials.org\/ru\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg","caption":"\u0431\u0435\u043d\u0434\u0436\u0430\u043c\u0438\u043d \u0430\u043d\u0434\u0435\u0440\u0441\u043e\u043d"},"description":"\u0417\u0434\u0440\u0430\u0432\u0441\u0442\u0432\u0443\u0439\u0442\u0435, \u044f \u0411\u0435\u043d\u0434\u0436\u0430\u043c\u0438\u043d, \u043f\u0440\u043e\u0444\u0435\u0441\u0441\u043e\u0440 \u0441\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u043a\u0438 \u043d\u0430 \u043f\u0435\u043d\u0441\u0438\u0438, \u0441\u0442\u0430\u0432\u0448\u0438\u0439 \u043f\u0440\u0435\u0434\u0430\u043d\u043d\u044b\u043c \u043f\u0440\u0435\u043f\u043e\u0434\u0430\u0432\u0430\u0442\u0435\u043b\u0435\u043c Statorials. \u0418\u043c\u0435\u044f \u043e\u0431\u0448\u0438\u0440\u043d\u044b\u0439 \u043e\u043f\u044b\u0442 \u0438 \u0437\u043d\u0430\u043d\u0438\u044f \u0432 \u043e\u0431\u043b\u0430\u0441\u0442\u0438 \u0441\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u043a\u0438, \u044f \u0445\u043e\u0447\u0443 \u043f\u043e\u0434\u0435\u043b\u0438\u0442\u044c\u0441\u044f \u0441\u0432\u043e\u0438\u043c\u0438 \u0437\u043d\u0430\u043d\u0438\u044f\u043c\u0438, \u0447\u0442\u043e\u0431\u044b \u0440\u0430\u0441\u0448\u0438\u0440\u0438\u0442\u044c \u0432\u043e\u0437\u043c\u043e\u0436\u043d\u043e\u0441\u0442\u0438 \u0441\u0442\u0443\u0434\u0435\u043d\u0442\u043e\u0432 \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e Statorials. \u0423\u0437\u043d\u0430\u0442\u044c \u0431\u043e\u043b\u044c\u0448\u0435","sameAs":["https:\/\/statorials.org\/ru"]}]}},"yoast_meta":{"yoast_wpseo_title":"","yoast_wpseo_metadesc":"","yoast_wpseo_canonical":""},"_links":{"self":[{"href":"https:\/\/statorials.org\/ru\/wp-json\/wp\/v2\/posts\/3239","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/statorials.org\/ru\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/statorials.org\/ru\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/statorials.org\/ru\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/statorials.org\/ru\/wp-json\/wp\/v2\/comments?post=3239"}],"version-history":[{"count":0,"href":"https:\/\/statorials.org\/ru\/wp-json\/wp\/v2\/posts\/3239\/revisions"}],"wp:attachment":[{"href":"https:\/\/statorials.org\/ru\/wp-json\/wp\/v2\/media?parent=3239"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/statorials.org\/ru\/wp-json\/wp\/v2\/categories?post=3239"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/statorials.org\/ru\/wp-json\/wp\/v2\/tags?post=3239"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}